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Record W2323297901 · doi:10.1177/1750698014547294

Curating memories of armed state actors in Peru’s era of transitional justice

2014· article· en· W2323297901 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMemory Studies · 2014
Typearticle
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsTransitional justiceState (computer science)Political scienceCommissionCognitive reframingCollusionDictatorshipTerrorismHuman rightsOrganised crimeLawEconomic JusticeDemocracyGovernment (linguistics)SociologyPolitics

Abstract

fetched live from OpenAlex

Ten years have passed since the Peruvian Truth and Reconciliation Commission (Comisión de la Verdad y Reconciliación) published their findings on the conflict that claimed over 69,000 lives from 1980 to 2000. While the Comisión de la Verdad y Reconciliación placed primary responsibility for deaths and disappearances (54%) on the insurrectionary group Shining Path ( Sendero Luminoso), it also named armed state actors as having systematically committed acts of violence. Publicly shamed for their collusion in the corrupt Fujimori government, state security forces initially lent their support to the Comisión de la Verdad y Reconciliación and to the transition to democracy. Yet, over the last decade, armed state actors have appropriated the language, imagery and mechanisms of human rights memory entrepreneurs to advance their own versions of Peru’s recent past which oppose the Comisión de la Verdad y Reconciliación’s findings while highlighting state actors’ heroism. This article examines two such endeavors to reframe this past, the National Police Terrorism Unit (DINCOTE) museum and the Armed Forces Monument to the Heroes of Chavín de Huántar.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.539
Threshold uncertainty score0.669

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.060
GPT teacher head0.351
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it